What time is it !

agent-memory-client/agent_memory_client/models.py

@@ -5,13 +5,17 @@
 For full model definitions, see the main agent_memory_server package.
 """
 
-from datetime import datetime, timezone
+import logging
+import threading
+from datetime import datetime, timedelta, timezone
 from enum import Enum
-from typing import Any, Literal
+from typing import Any, ClassVar, Literal
 
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, model_validator
 from ulid import ULID
 
+logger = logging.getLogger(__name__)
+
 # Model name literals for model-specific window sizes
 ModelNameLiteral = Literal[
     "gpt-3.5-turbo",
@@ -62,6 +66,15 @@ class MemoryStrategyConfig(BaseModel):
 class MemoryMessage(BaseModel):
     """A message in the memory system"""
 
+    # Track message IDs that have been warned (in-memory, per-process)
+    # Used to rate-limit deprecation warnings
+    _warned_message_ids: ClassVar[set[str]] = set()
+    _warned_message_ids_lock: ClassVar[threading.Lock] = threading.Lock()
+    _max_warned_ids: ClassVar[int] = 10000  # Prevent unbounded growth
+
+    # Default tolerance for future timestamp validation (5 minutes)
+    _max_future_seconds: ClassVar[int] = 300
+
     role: str
     content: str
     id: str = Field(
@@ -70,7 +83,7 @@ class MemoryMessage(BaseModel):
     )
     created_at: datetime = Field(
         default_factory=lambda: datetime.now(timezone.utc),
-        description="Timestamp when the message was created",
+        description="Timestamp when the message was created (should be provided by client)",
     )
     persisted_at: datetime | None = Field(
         default=None,
@@ -81,6 +94,72 @@ class MemoryMessage(BaseModel):
         description="Whether memory extraction has run for this message",
     )
 
+    @model_validator(mode="before")
+    @classmethod
+    def validate_created_at(cls, data: Any) -> Any:
+        """
+        Validate created_at timestamp:
+        - Warn if not provided by client (will become required in future version)
+        - Error if timestamp is in the future (beyond tolerance)
+        """
+        if not isinstance(data, dict):
+            return data
+
+        created_at_provided = "created_at" in data and data["created_at"] is not None
+
+        if not created_at_provided:
+            # Rate-limit warnings by message ID (thread-safe)
+            msg_id = data.get("id", "unknown")
+
+            with cls._warned_message_ids_lock:
+                if msg_id not in cls._warned_message_ids:
+                    # Prevent unbounded memory growth
+                    if len(cls._warned_message_ids) >= cls._max_warned_ids:
+                        cls._warned_message_ids.clear()
+                    cls._warned_message_ids.add(msg_id)
+                    should_warn = True
+                else:
+                    should_warn = False
+
+            if should_warn:
+                logger.warning(
+                    "MemoryMessage created without explicit created_at timestamp. "
+                    "This will become required in a future version. "
+                    "Please provide created_at for accurate message ordering."
+                )
+        else:
+            # Validate that created_at is not in the future
+            created_at_value = data["created_at"]
+
+            # Parse string to datetime if needed
+            if isinstance(created_at_value, str):
+                try:
+                    # Handle ISO format with Z suffix
+                    created_at_value = datetime.fromisoformat(
+                        created_at_value.replace("Z", "+00:00")
+                    )
+                except ValueError:
+                    # Let Pydantic handle the parsing error
+                    return data
+
+            if isinstance(created_at_value, datetime):
+                # Ensure timezone-aware comparison
+                now = datetime.now(timezone.utc)
+                if created_at_value.tzinfo is None:
+                    # Assume UTC for naive datetimes
+                    created_at_value = created_at_value.replace(tzinfo=timezone.utc)
+
+                max_allowed = now + timedelta(seconds=cls._max_future_seconds)
+
+                if created_at_value > max_allowed:
+                    raise ValueError(
+                        f"created_at cannot be more than {cls._max_future_seconds} seconds in the future. "
+                        f"Received: {created_at_value.isoformat()}, "
+                        f"Max allowed: {max_allowed.isoformat()}"
+                    )
+
+        return data
+
 
 class MemoryRecord(BaseModel):
     """A memory record"""

agent_memory_server/api.py

@@ -2,7 +2,7 @@
 from typing import Any
 
 import tiktoken
-from fastapi import APIRouter, Depends, Header, HTTPException, Query
+from fastapi import APIRouter, Depends, Header, HTTPException, Query, Response
 from mcp.server.fastmcp.prompts import base
 from mcp.types import TextContent
 
@@ -452,39 +452,28 @@ async def get_working_memory(
     return WorkingMemoryResponse(**working_mem_data)
 
 
-@router.put("/v1/working-memory/{session_id}", response_model=WorkingMemoryResponse)
-async def put_working_memory(
+async def put_working_memory_core(
     session_id: str,
     memory: UpdateWorkingMemory,
     background_tasks: HybridBackgroundTasks,
     model_name: ModelNameLiteral | None = None,
     context_window_max: int | None = None,
-    current_user: UserInfo = Depends(get_current_user),
-):
+) -> WorkingMemoryResponse:
     """
-    Set working memory for a session. Replaces existing working memory.
-
-    The session_id comes from the URL path, not the request body.
-    If the token count exceeds the context window threshold, messages will be summarized
-    immediately and the updated memory state returned to the client.
+    Core implementation of put_working_memory.
 
-    NOTE on context_percentage_* fields:
-    The response includes `context_percentage_total_used` and `context_percentage_until_summarization`
-    fields that show token usage. These fields will be `null` unless you provide either:
-    - `model_name` query parameter (e.g., `?model_name=gpt-4o-mini`)
-    - `context_window_max` query parameter (e.g., `?context_window_max=500`)
+    This function contains the business logic for setting working memory and can be
+    called from both the REST API endpoint and MCP tools.
 
     Args:
-        session_id: The session ID (from URL path)
-        memory: Working memory data to save (session_id not required in body)
+        session_id: The session ID
+        memory: Working memory data to save
+        background_tasks: Background tasks handler
         model_name: The client's LLM model name for context window determination
-        context_window_max: Direct specification of context window max tokens (overrides model_name)
-        background_tasks: DocketBackgroundTasks instance (injected automatically)
+        context_window_max: Direct specification of context window max tokens
 
     Returns:
-        Updated working memory (potentially with summary if tokens were condensed).
-        Includes context_percentage_total_used and context_percentage_until_summarization
-        if model information is provided.
+        Updated working memory response
     """
     redis = await get_redis_conn()
 
@@ -557,6 +546,61 @@ async def put_working_memory(
     return WorkingMemoryResponse(**updated_memory_data)
 
 
+@router.put("/v1/working-memory/{session_id}", response_model=WorkingMemoryResponse)
+async def put_working_memory(
+    session_id: str,
+    memory: UpdateWorkingMemory,
+    background_tasks: HybridBackgroundTasks,
+    response: Response,
+    model_name: ModelNameLiteral | None = None,
+    context_window_max: int | None = None,
+    current_user: UserInfo = Depends(get_current_user),
+):
+    """
+    Set working memory for a session. Replaces existing working memory.
+
+    The session_id comes from the URL path, not the request body.
+    If the token count exceeds the context window threshold, messages will be summarized
+    immediately and the updated memory state returned to the client.
+
+    NOTE on context_percentage_* fields:
+    The response includes `context_percentage_total_used` and `context_percentage_until_summarization`
+    fields that show token usage. These fields will be `null` unless you provide either:
+    - `model_name` query parameter (e.g., `?model_name=gpt-4o-mini`)
+    - `context_window_max` query parameter (e.g., `?context_window_max=500`)
+
+    Args:
+        session_id: The session ID (from URL path)
+        memory: Working memory data to save (session_id not required in body)
+        model_name: The client's LLM model name for context window determination
+        context_window_max: Direct specification of context window max tokens (overrides model_name)
+        background_tasks: DocketBackgroundTasks instance (injected automatically)
+        response: FastAPI Response object for setting headers
+
+    Returns:
+        Updated working memory (potentially with summary if tokens were condensed).
+        Includes context_percentage_total_used and context_percentage_until_summarization
+        if model information is provided.
+    """
+    # Check if any messages are missing created_at timestamps and add deprecation header
+    messages_missing_timestamp = any(
+        not getattr(msg, "_created_at_was_provided", True) for msg in memory.messages
+    )
+    if messages_missing_timestamp:
+        response.headers["X-Deprecation-Warning"] = (
+            "messages[].created_at will become required in the next major version. "
+            "Please provide timestamps for all messages."
+        )
+
+    return await put_working_memory_core(
+        session_id=session_id,
+        memory=memory,
+        background_tasks=background_tasks,
+        model_name=model_name,
+        context_window_max=context_window_max,
+    )
+
+
 @router.delete("/v1/working-memory/{session_id}", response_model=AckResponse)
 async def delete_working_memory(
     session_id: str,

agent_memory_server/config.py

@@ -314,6 +314,13 @@ class Settings(BaseSettings):
         0.7  # Fraction of context window that triggers summarization
     )
 
+    # Message timestamp validation settings
+    # If true, reject messages without created_at timestamp.
+    # If false (default), auto-generate timestamp with deprecation warning.
+    require_message_timestamps: bool = False
+    # Maximum allowed clock skew for future timestamp validation (in seconds)
+    max_future_timestamp_seconds: int = 300  # 5 minutes
+
     # Working memory migration settings
     # Set to True to skip backward compatibility checks for old string-format keys.
     # Use this after running 'agent-memory migrate-working-memory' or for fresh installs.

agent_memory_server/mcp.py

@@ -11,7 +11,7 @@
     get_long_term_memory as core_get_long_term_memory,
     get_working_memory as core_get_working_memory,
     memory_prompt as core_memory_prompt,
-    put_working_memory as core_put_working_memory,
+    put_working_memory_core as core_put_working_memory,
     search_long_term_memory as core_search_long_term_memory,
     update_long_term_memory as core_update_long_term_memory,
 )